McKesson, a Fortune 10 healthcare company, is seeking a Senior Machine Learning Engineer to lead the development of their Enterprise MLOps Platform. This role is crucial in supporting machine learning projects across various business units and involves working with cutting-edge AI technologies including large language models (LLMs).
The position offers an opportunity to make a significant impact in healthcare through AI innovation, working with state-of-the-art machine learning models for text, image, video, and audio data. You'll be responsible for developing and deploying ML solutions that drive business value while working in a collaborative environment with data scientists and cross-functional teams.
As a Senior ML Engineer, you'll be working with modern tools and technologies including Databricks, Azure Cloud, TensorFlow, and PyTorch. The role combines technical expertise in machine learning with practical business application, requiring both strong programming skills and the ability to translate complex requirements into effective solutions.
The position offers competitive compensation ranging from $155,600 to $259,300, along with comprehensive benefits. McKesson provides a supportive environment focused on employee growth and well-being, offering opportunities to shape the future of healthcare through innovative technology solutions.
This remote position allows for flexibility while working with cutting-edge AI technologies in a healthcare context. You'll be part of a company that values diversity, inclusion, and making a meaningful impact in healthcare accessibility and affordability. The role requires 7+ years of experience in machine learning engineering, with opportunities for continuous learning and professional development in an evolving field.